Difference between revisions of "Kaggle"
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* [http://blog.kensho.com/announcing-the-kensho-derived-wikimedia-dataset-5d1197d72bcf?gi=a94e1b9ff840 Introducing the Kensho Derived Wikimedia Dataset | Gabriel Altay] - [http://blog.kensho.com/ Kensho - Medium] 'Kensho Derived Wikimedia Dataset (KDWD)', Wikipedia, the free encyclopedia, and Wikidata, the free knowledge base, are crowd-sourced projects supported by the Wikimedia Foundation. | * [http://blog.kensho.com/announcing-the-kensho-derived-wikimedia-dataset-5d1197d72bcf?gi=a94e1b9ff840 Introducing the Kensho Derived Wikimedia Dataset | Gabriel Altay] - [http://blog.kensho.com/ Kensho - Medium] 'Kensho Derived Wikimedia Dataset (KDWD)', Wikipedia, the free encyclopedia, and Wikidata, the free knowledge base, are crowd-sourced projects supported by the Wikimedia Foundation. | ||
** [http://www.kaggle.com/kenshoresearch/kensho-derived-wikimedia-data Kaggle - Kensho Derived Wikimedia Dataset] | ** [http://www.kaggle.com/kenshoresearch/kensho-derived-wikimedia-data Kaggle - Kensho Derived Wikimedia Dataset] | ||
− | ** [http://www.kaggle.com/kenshoresearch/kdwd-aliases-and-disambiguation | + | ** [http://www.kaggle.com/kenshoresearch/kdwd-aliases-and-disambiguation Kaggle - Entity Aliases and Disambiguation Candidates with Anchor Link Statistics] |
== Learn == | == Learn == |
Revision as of 15:48, 26 March 2020
Youtube search... ...Google search
- Competitions
- Kaggle Kernels
- Notebooks; Jupyter and R Markdown
- Platforms: Machine Learning as a Service (MLaaS)
- What my first Silver Medal taught me about Text Classification and Kaggle in general? | Rahul Agarwal - Walmart Labs
- Introducing the Kensho Derived Wikimedia Dataset | Gabriel Altay - Kensho - Medium 'Kensho Derived Wikimedia Dataset (KDWD)', Wikipedia, the free encyclopedia, and Wikidata, the free knowledge base, are crowd-sourced projects supported by the Wikimedia Foundation.
Learn
Youtube search... ...Google search
Kaggle Learn bills itself as "Faster Data Science Education," a free repository of micro-courses covering an array of "[p]ractical data skills you can apply immediately."
Dan Becker (Kaggle Learn's team lead): We're unique in a couple ways. First, we focus more on practical applications instead of academic theory. When I was in data science consulting, I worked on projects solving business problems for dozens of companies. It's striking how conventional courses focus on so many skills that don't matter in practice, while missing many of the things that matter most. For example, students might learn to code an algorithm from scratch (which no one will ever need you to do again), but you won't learn how to manipulate data to get it into mainstream libraries that implement the algorithm. [https://www.kdnuggets.com/2019/08/kaggle-learn-faster-data-science-education.html Is Kaggle Learn a “Faster Data Science Education?” | Matthew Mayo - KDnuggets